文章基本信息

标题：Various Methods for Edge Detection in Digital Image Processing
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作者：Sushil Kumar Singh ; Aruna Kathane
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：2(Version 1)
出版社：Ayushmaan Technologies
摘要：In computer and image processing edge detection playing a vital role. It is problems of fundamental importance in image analysis edge characterizes object boundaries and are useful for segmentation, registration and identification of objects in a scene. In this paper we discuss feature extraction. Firstly we apply Gaussian noise removal method for removing the noise from image collected. Secondly some edge detection operator such as Binary Morphology, canny edge detection, log edge detection, differential edge detection are applied and analyzed. According to simulated result the advantages and disadvantages of these edge detection operators are compared. It is shown that the binary morphology operator can obtain better edge detection.
关键词：Edge Detection; Digital image processing; operator; noise removal;Gaussian noise model.y.